Forest fire detection method based on radiant energy

Abstract

The invention provides a radiation energy-based forest fire detection method. The method comprises the steps of receiving a to-be-detected infrared image f1 (x,y) by a detection device; subjecting the to-be-detected infrared image f1 (x,y) to contrast normalization treatment by the detection device so as to obtain a normalized image f2 (x,y); subjecting the normalized image f2 (x,y) to binarization treatment by the detection device so as to obtain a binarized image f3 (x,y); conducting the statistics on the number n of connected domains in the binarized image f3 (x,y) by the detection device; calculating the area of each connected domain in the binarized image f3 (x,y) by the detection device and conducting the statistics on the number of connected domains already subjected to calculation; if the area of the connected domains is larger than an allowable area threshold, assigning the area of the connected domains to Ms, calculating the total gray value of the connected domains and assigning the total gray value to Ls by the detection device; calculating the standard deviations of Ms and the total gray value Ls in multiple frames by the detection device; if the standard deviation Vm of Ms is larger than an area threshold Area T and the standard deviation VL of the total gray value Ls is larger than a gray threshold value VLT, marking and displaying the connected domains. The above method is universal.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a forest fire detection method based on image preprocessing technology, connected domain analysis and radiation energy feature analysis. Background technique [0002] Forest fire is a natural disaster with strong suddenness, great destructive power, wide range of occurrence and difficulty in fighting. This kind of disaster not only burns trees and destroys the forest environment, but also seriously affects the stability and balance of the forest ecosystem, threatening the safety of people's lives and property. The use of infrared detection technology for forest fire detection and early warning can effectively control the occurrence of disasters And its degree of damage, effectively reduce the loss. At present, there are two main categories of forest fire target detection technologies at home and abroad, one is the detection method based on single frame, and the other i...

AI Technical Summary

Problems solved by technology

Compared with the traditional method, this type of method can solve the problem of strong static interference in the background, but because in the actual data, the background may also contain certain motion components, which may be derived from noise, etc.

Therefore, in actual application, the threshold selection requirements for motion components are relatively high, which limits the application

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